BI Engineer, AWS Finance, Analytics and Science Team

AWS is one of Amazons largest and fastest growing businesses serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial analytical creative flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced innovative team that is making history this is the place for you.

AWS Central Economics & Science (ACES) drives best practices for objectively applying economics and science in decision making across AWS. The team collaborates with AWS science and business teams to identify frame and analyze complex and ambiguous problems of the highest priority. Through data-driven insights and analytical resources ACES supports strategic decision-making across the AWS global organization including sales operations and business performance optimization.

The successful candidate will be an expert with SQL ETL (and general data wrangling) and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment and able to think big while paying careful attention to detail. The candidate will know and love working with business intelligence tools and can partner with customers to answer key business questions.

Key job responsibilities
- Work with business customers to gather requirements and deliver complete data analytical solutions
- Learn why customers are asking for data and what their underlying questions and business goals are
- Own the design development and maintenance of ongoing metrics and analyses used to drive key business decisions
- Recognize and adopt best practices including data integrity accuracy and reliability as well as documentation
- Drive data democratization throughout the organization enabling others to self-serve their data needs

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- 3 years of business intelligence and analytics experience

- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 99500.00 - 160000.00 USD annually